A* Search Without Expansions: Learning Heuristic Functions with Deep
Q-Networks

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A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks

8 February 2021

Forest Agostinelli

Alexander Shmakov

Stephen Marcus McAleer

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Papers citing "A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks"

11 / 11 papers shown

Title
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances Dieqiao Feng Carla P. Gomes B. Selman ODL 97 19 0 03 Oct 2021
Retro: Learning Retrosynthetic Planning with Neural Guided A Search Binghong Chen Chengtao Li H. Dai Le Song 52 108 0 29 Jun 2020
Topological Quantum Compiling with Reinforcement Learning Yuanhua Zhang Peikun Zheng Yi Zhang D. Deng 23 75 0 09 Apr 2020
Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization Alexandre Laterre Yunguan Fu Mohamed Khalil Jabri A. Cohen David Kas Karl Hajjar T. Dahl Amine Kerkeni Karim Beguir 109 80 0 04 Jul 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 295 902 0 07 Jun 2018
Solving the Rubik's Cube Without Human Knowledge Stephen Marcus McAleer Forest Agostinelli Alexander Shmakov Pierre Baldi 43 41 0 18 May 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,363 0 12 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 246 16,377 0 30 Apr 2014
The Fast Downward Planning System M. Helmert 85 1,906 0 27 Sep 2011